Matches in SemOpenAlex for { <https://semopenalex.org/work/W3087323963> ?p ?o ?g. }
- W3087323963 endingPage "112954" @default.
- W3087323963 startingPage "112954" @default.
- W3087323963 abstract "Some challenging issues emerge for the health monitoring of composite wind turbine blades under the intrinsic noise of fatigue loading, including damage mode identification and singular signal detection. This work performs health monitoring of a 59.5-m-long composite wind turbine blade under fatigue loads by acoustic emission (AE) technique. First, the original AE waveform is acquired after wave attenuation calibration and sensor array arrangement. Second, a waveform-based feature extraction method is developed based on the wavelet packet decomposition (WPD) to capture the information contained in original AE signals, which covers all features for reconstructed signals in the frequency domain. Without the requirements for signal preprocessing, clustering analysis is conducted for damage mode identification and singular signal detection based on the extracted features. Third, two hyperparameters, including the scatter number and the selection of wavelet basis function, are demonstrated to show no effect on the results, indicating the robustness of the method. This method is proved to be effective and feasible for health condition monitoring of the blade." @default.
- W3087323963 created "2020-09-25" @default.
- W3087323963 creator A5035816030 @default.
- W3087323963 creator A5053431599 @default.
- W3087323963 creator A5062756194 @default.
- W3087323963 date "2021-01-01" @default.
- W3087323963 modified "2023-10-17" @default.
- W3087323963 title "Damage mode identification and singular signal detection of composite wind turbine blade using acoustic emission" @default.
- W3087323963 cites W1965169877 @default.
- W3087323963 cites W1965744128 @default.
- W3087323963 cites W1975632854 @default.
- W3087323963 cites W1998250921 @default.
- W3087323963 cites W2000067680 @default.
- W3087323963 cites W2002110530 @default.
- W3087323963 cites W2036241893 @default.
- W3087323963 cites W2062524858 @default.
- W3087323963 cites W2065182739 @default.
- W3087323963 cites W2067613664 @default.
- W3087323963 cites W2068230419 @default.
- W3087323963 cites W2083768382 @default.
- W3087323963 cites W2089415471 @default.
- W3087323963 cites W2153287427 @default.
- W3087323963 cites W2165835468 @default.
- W3087323963 cites W2195597374 @default.
- W3087323963 cites W2226401469 @default.
- W3087323963 cites W2307134038 @default.
- W3087323963 cites W2310441878 @default.
- W3087323963 cites W2410766967 @default.
- W3087323963 cites W2410800439 @default.
- W3087323963 cites W2465990047 @default.
- W3087323963 cites W2507391025 @default.
- W3087323963 cites W2529198289 @default.
- W3087323963 cites W2751410830 @default.
- W3087323963 cites W2763579100 @default.
- W3087323963 cites W2763756702 @default.
- W3087323963 cites W2766714366 @default.
- W3087323963 cites W2771296190 @default.
- W3087323963 cites W2771754157 @default.
- W3087323963 cites W2789017985 @default.
- W3087323963 cites W2809308271 @default.
- W3087323963 cites W2884077485 @default.
- W3087323963 cites W2889513513 @default.
- W3087323963 cites W2903136754 @default.
- W3087323963 cites W2906263355 @default.
- W3087323963 cites W2942627270 @default.
- W3087323963 cites W2974861995 @default.
- W3087323963 cites W2997562538 @default.
- W3087323963 cites W321358065 @default.
- W3087323963 doi "https://doi.org/10.1016/j.compstruct.2020.112954" @default.
- W3087323963 hasPublicationYear "2021" @default.
- W3087323963 type Work @default.
- W3087323963 sameAs 3087323963 @default.
- W3087323963 citedByCount "33" @default.
- W3087323963 countsByYear W30873239632021 @default.
- W3087323963 countsByYear W30873239632022 @default.
- W3087323963 countsByYear W30873239632023 @default.
- W3087323963 crossrefType "journal-article" @default.
- W3087323963 hasAuthorship W3087323963A5035816030 @default.
- W3087323963 hasAuthorship W3087323963A5053431599 @default.
- W3087323963 hasAuthorship W3087323963A5062756194 @default.
- W3087323963 hasConcept C103824480 @default.
- W3087323963 hasConcept C104286136 @default.
- W3087323963 hasConcept C104317684 @default.
- W3087323963 hasConcept C119599485 @default.
- W3087323963 hasConcept C121332964 @default.
- W3087323963 hasConcept C127413603 @default.
- W3087323963 hasConcept C154945302 @default.
- W3087323963 hasConcept C174598085 @default.
- W3087323963 hasConcept C185592680 @default.
- W3087323963 hasConcept C197424946 @default.
- W3087323963 hasConcept C198394728 @default.
- W3087323963 hasConcept C199360897 @default.
- W3087323963 hasConcept C20381859 @default.
- W3087323963 hasConcept C24890656 @default.
- W3087323963 hasConcept C2775846686 @default.
- W3087323963 hasConcept C2776247918 @default.
- W3087323963 hasConcept C2776960193 @default.
- W3087323963 hasConcept C2778449969 @default.
- W3087323963 hasConcept C2779843651 @default.
- W3087323963 hasConcept C31972630 @default.
- W3087323963 hasConcept C41008148 @default.
- W3087323963 hasConcept C47432892 @default.
- W3087323963 hasConcept C52622490 @default.
- W3087323963 hasConcept C554190296 @default.
- W3087323963 hasConcept C55493867 @default.
- W3087323963 hasConcept C63479239 @default.
- W3087323963 hasConcept C66938386 @default.
- W3087323963 hasConcept C76155785 @default.
- W3087323963 hasConcept C78519656 @default.
- W3087323963 hasConcept C8590192 @default.
- W3087323963 hasConceptScore W3087323963C103824480 @default.
- W3087323963 hasConceptScore W3087323963C104286136 @default.
- W3087323963 hasConceptScore W3087323963C104317684 @default.
- W3087323963 hasConceptScore W3087323963C119599485 @default.
- W3087323963 hasConceptScore W3087323963C121332964 @default.
- W3087323963 hasConceptScore W3087323963C127413603 @default.
- W3087323963 hasConceptScore W3087323963C154945302 @default.
- W3087323963 hasConceptScore W3087323963C174598085 @default.